Senior Software Engineer, Data Platform
SentiLink · United States
Airbnb · United States
What they do, how they make money, why this role exists.
Reading up on Airbnb…
One proof-of-work idea, an hour to build, that shows this employer you get their business.
Sketching a proof-of-work idea…
Who likely hires for this role, a LinkedIn search pre-filled to find them, and a short intro written for this exact job — you send it yourself.
Airbnb was born in 2007 when two hosts welcomed three guests to their San Francisco home, and has since grown to over 5 million hosts who have welcomed over 2 billion guest arrivals in almost every country across the globe. Every day, hosts offer unique stays and experiences that make it possible for guests to connect with communities in a more authentic way.
At Airbnb, our mission is to create a world where anyone can belong anywhere. We use Machine Learning extensively to create a more connected, empowered, and safer global community and enable an intelligent & worry-free travel experience.
In this role, you’ll help us build a suite of tools which together form the foundation with which ML & AI is created at Airbnb. You will contribute to creating a scalable shared platform that accelerates the pace of Machine Learning design & development and the deployment of impactful, high-quality ML use cases company-wide.
You’ll also join us in creating the GenAI infrastructure that will make AI the center of our business.
Build scalable GenAI infrastructure to support the fast evolving needs of Airbnb teams using foundational language / vision models to power next-gen product experiences Drive expansions of our ML platform to improve the productivity of 200+ ML Engineers & Data Scientists who rely on us Create solid data foundations to power the data-driven product features (e.g.
Categories) that are at the center of Airbnb’s product roadmap by creating scalable human & AI Labeling infrastructure Use OSS technologies such as Ray, MLFlow, Tensorflow, PyTorch, LangChain, Airflow, Spark, Docker, Kubernetes, Jupyterhub, etc.
Work side-by-side with customer teams including Customer Support, Search Relevance, Trust & Safety to deliver high-impact product wins
9+ years of industry experience (and/or relevant academic experience) Solid understanding of engineering and infrastructure best practices Strong coding skills in Python/Java or equivalent Strong Experience and knowledge of distributed systems Industry experience building end-to-end Machine Learning Platforms is a plus Experience developing and productionizing machine learning models is a plus Experience with Kubernetes, Spark, Docker, Airflow is a plus
Airbnb is committed to working with the broadest talent pool possible. We believe diverse ideas foster innovation and engagement, and allow us to attract creatively-led people, and to develop the best products, services and solutions. All qualified individuals are encouraged to apply.
We strive to also provide a disability inclusive application and interview process. If you are a candidate with a disability and require reasonable accommodation in order to submit an application, please contact us at: [email protected]. Please include your full name, the role you’re applying for and the accommodation necessary to assist you with the recruiting process.
We ask that you only reach out to us if you are a candidate whose disability prevents you from being able to complete our online application.
Our job titles may span more than one career level. The actual base pay is dependent upon many factors, such as: training, transferable skills, work experience, business needs and market demands. The base pay range is subject to change and may be modified in the future. This role may also be eligible for bonus, equity, benefits, and Employee Travel Credits.
Pay Range
Reasonable Accommodations: We are committed to providing reasonable accommodations throughout the recruitment process for applicants with disabilities. If you need assistance, or an accommodation, please let your recruiter know once you are contacted about a role.
A Note on Recruiting Scams: Scammers sometimes pose as Airbnb recruiters to get money or personal information from candidates. A few things that will always be true for Airbnb’s hiring process: our open roles are posted on Airbnb’s Career’s Page at careers.airbnb.com, and our recruiters correspond only from @airbnb.com or @ext.airbnb.com email addresses.
Our recruiters will never ask for your Social Security number, bank account details, passport, or payment app information while you are interviewing. We’ll also never ask you to pay a fee, send money, deposit or cash a check, or purchase work-related equipment (such as a company laptop) during the interview process.
We encourage candidates to remain vigilant of these recruiting scams and not share sensitive information if you do not believe an individual is actually affiliated with Airbnb.
Straight from the source — this role comes from Airbnb's own hiring system, not a scraped repost. iRocket links you directly; we don't host the posting or the application.
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